Beam

Beam operates by providing a cloud infrastructure that allows developers to run sandboxes, inference, and training with ultrafast boot times and instant autoscaling. This enables seamless deployment and management of AI applications without the need for extensive infrastructure management.

Beam utilizes a combination of dynamic container environments, autoscaling capabilities, and secure runtimes for agent-generated code. This technology stack ensures efficient resource management and rapid deployment of AI applications.

Beam's key features include ultrafast boot times, autoscaling, secure runtime environments, dynamic container management, and the ability to run custom model inference. These features collectively enhance the developer experience and operational efficiency.

Beam supports various AI models, including SLMs, LLMs, and diffusion models. It allows users to train and fine-tune these models on both GPU and CPU infrastructures, catering to diverse AI application needs.